Советский учитель на фоне школьной повести: корпусная перспектива
The aim of this article is to analyze the discursive background for the characters of teachers in the Soviet school story of the afterwar period. The 1,8 million words corpus for the study was compiled of the novels about school and schooling by 37 authors, written in 1940-s — 1980-s. The contents of the episodes where the keywords (headmaster, deputy headmaster, teacher, female teacher)
were mentioned was analyzed automatically with the help of probabilistic topic modeling (LDA). Topics significantly more or
less common in these episodes than in the whole corpus were used to characterize discursive context for the keywords. Judging by the thematic profile the term ‘female teacher’ is opposed to all the rest, Meaningful contrasts distinguishing the thematic ptofiles of the terms are: disourse of the upbringing and everyday schooling, komsomol and pioneers, emotions and gender.
The paper examines how a writer turns to rewriter who repairs his/her and other works according to changes political conditions. In patrticular, the Soviet writer is a special kind of employee, a machine of an endless improvement - not of style or creative manner but of the ability to guess all whims of authorities and to repent of the mistakes (first of all, potential, imaginary mistakes). The material of Viktor Shklovsky's production may brightly demonstrate how does repair of a text replace an innovative mechanism of its creation in absentia.
An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments.
An important text mining problem is to find, in a large collection of texts, documents related to specic topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to nd the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predened sets of keywords (that dene the topics researchers are interested in) are restricted to specic intervals of topic assignments. We present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.
Academic commentary on three novels by Yuri Koval
Based on the analysis of the image of the hero of the novel A. Ivanov, "The Geographer Globe propyl" discusses the idea of the modern teacher.
Probabilistic topic models discover a low-dimensional interpretable representation of text corpora by estimating a multinomial distribution over topics for each document and a multinomial distribution over terms for each topic. A unied family of expectation-maximization (EM) like algorithms with smoothing, sampling, sparsing, and robustness heuristics that can be used in any combinations is considered. The known models PLSA (probabilistic latent semantic analysis), LDA (latent Dirichlet allocation), SWB (special words with background), as well as new ones can be considered as special cases of the presented broad family of models. A new simple robust algorithm suitable for sparse models that do not require to estimate and store a big matrix of noise parameters is proposed. The present authors nd experimentally optimal combinations of heuristics with sparsing strategies and discover that sparse robust model without Dirichlet smoothing performs very well and gives more than 99% of zeros in multinomial distributions without loss of perplexity.
The paper is focused on the study of reaction of italian literature critics on the publication of the Boris Pasternak's novel "Doctor Jivago". The analysys of the book ""Doctor Jivago", Pasternak, 1958, Italy" (published in Russian language in "Reka vremen", 2012, in Moscow) is given. The papers of italian writers, critics and historians of literature, who reacted immediately upon the publication of the novel (A. Moravia, I. Calvino, F.Fortini, C. Cassola, C. Salinari ecc.) are studied and analised.
In the article the patterns of the realization of emotional utterances in dialogic and monologic speech are described. The author pays special attention to the characteristic features of the speech of a speaker feeling psychic tension and to the compositional-pragmatic peculiarities of dialogic and monologic text.